CN101226350A - Image forming device and method thereof - Google Patents

Image forming device and method thereof Download PDF

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Publication number
CN101226350A
CN101226350A CNA2007101657985A CN200710165798A CN101226350A CN 101226350 A CN101226350 A CN 101226350A CN A2007101657985 A CNA2007101657985 A CN A2007101657985A CN 200710165798 A CN200710165798 A CN 200710165798A CN 101226350 A CN101226350 A CN 101226350A
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subwindow
color
window
binary data
marginarium
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辛相润
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Samsung Electronics Co Ltd
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Samsung Electronics Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N1/00Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
    • H04N1/46Colour picture communication systems
    • H04N1/56Processing of colour picture signals
    • H04N1/58Edge or detail enhancement; Noise or error suppression, e.g. colour misregistration correction
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/12Digital output to print unit, e.g. line printer, chain printer
    • GPHYSICS
    • G03PHOTOGRAPHY; CINEMATOGRAPHY; ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ELECTROGRAPHY; HOLOGRAPHY
    • G03GELECTROGRAPHY; ELECTROPHOTOGRAPHY; MAGNETOGRAPHY
    • G03G15/00Apparatus for electrographic processes using a charge pattern
    • GPHYSICS
    • G03PHOTOGRAPHY; CINEMATOGRAPHY; ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ELECTROGRAPHY; HOLOGRAPHY
    • G03GELECTROGRAPHY; ELECTROPHOTOGRAPHY; MAGNETOGRAPHY
    • G03G15/00Apparatus for electrographic processes using a charge pattern
    • G03G15/01Apparatus for electrographic processes using a charge pattern for producing multicoloured copies

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Human Computer Interaction (AREA)
  • General Engineering & Computer Science (AREA)
  • Image Processing (AREA)
  • Facsimile Image Signal Circuits (AREA)
  • Color, Gradation (AREA)

Abstract

An image forming device includes an input unit to receive binary data for each colour being input; a generation unit to generate an synthesis window, by applying a window of a predetermined size to each of the binary data for each colour and synthesizing each window region; an image process unit to expand an image, by applying a plurality of sub windows to the synthesis window; and a control unit to detect an edge region of the expanded image, extract dots corresponding to the edge region from the binary data for each colour, and carry out reinforcement or deletion of the dots. Accordingly, the quality of an image deteriorated by colour disagreement is improved by software.

Description

Image forming apparatus and method thereof
Technical field
Aspect of the present invention relates to image forming apparatus and method thereof, more specifically, relates to by the software compensation image and disperses (disagreement) and improve the image forming apparatus and the method thereof of the quality of image.
Background technology
Along with development of electronic technology, used widely and energetically such as the peripherals of printer, scanner etc.Particularly, along with many manufacturing companies have participated in the printer exploitation competitively, laser printer has replaced the dot printer and the ink-jet printer that use in the past, because the print quality of laser printer and print speed have obtained sizable improvement and laser printer has low noise level.Term " laser printer " refers to and uses the laser beam that is modulated to picture signal to transfer images to the printer of photosensitive unit.After this, toner is adhered to photosensitive unit and is transferred on the printable media (such as printer paper), so that form image on printable media.Logical hyperthermia and pressure and with described toner fixing on printable media.
Laser printer by typically be divided into charging (charge), write, the print processing of development, transfer printing, consolidation (fusing) etc., carry out the operation of print image.Term " charging " refers to high voltage (approximately 7000V) is applied to charger to form the processing of negative charge on the surface of photosensitive unit by corona discharge.Term " writes " and refers to following processing: scanning laser beam on the surface of the photosensitive unit with negative charge, with optionally according to the negative charge that neutralizes or reverse of the mode at image (image-wise), thereby and on the surface of photosensitive unit, form sub-image.Term " development " refers to the toner-particle that will have negative charge and adheres to processing on the lip-deep sub-image of photosensitive unit.Term " transfer printing " refers to following processing: when printable media is transmitted between photosensitive unit and transfer printing unit, predetermined transfer voltage is applied to transfer printing unit, so that the back side in printable media forms positive charge, make the lip-deep negative charge toner-particle that sticks to photosensitive unit (that is drum) attracted to printable media.Term " consolidation " refers to the processing of the toner that complete consolidation forms by applying suitable heat and pressure on printable media.Handle the image that output will form on printable media by these.
Particularly, recently, color laser printer is widely used.Color laser printer typically uses the toner of four kinds of colors to express coloured image (color image), cyan (C), purple (M), yellow (Y) and the black (K) of described four kinds of colors for being referred to as " CMYK ".In color laser printer, in order to print clearly image, used four photosensitive units, and carried out print processing for the toner of every kind of color.In addition, in order on position accurately, to show the toner of every kind of color, can use intermediate transfer belt (ITB) to come by two step process transfer of color images on printable media.
Transfer belt, a plurality of photosensitive units etc. form in the image forming apparatus of coloured image in use, and every type toner should be superposeed exactly, and is transferred on the printable media on identical position.That is to say that when using independent C, M, Y and K toner to form coloured image, stack one or more toner colors at least shows a color of image.In order to show color of image accurately, each toner image must be transferred to position accurately exactly.
Yet along with the increase of printing number, the problem that image is dispersed may appear in existence.In image is dispersed, because the operating mistake between the transfer printing unit and the position not aiming at toner and be transferred to.That is to say that when each transfer printing unit can not be at identical position transfer printing toner, edge of image was partly fuzzy.This is called the problem of printing the black text area, because superposeed all color C, M, Y and K print the black text area.Yet when image occurring and disperse, specific color may be given prominence on the marginarium of black text, and this has caused the text obscurity boundary.
In order to prevent foregoing problems, the conventional art in this field uses the auto color calibration function.That is to say, periodically automatically perform color calibration and handle.When image forming apparatus was printed about N and opened printed matter, the about X of picture displacement of each a transfer printing unit institute transfer printing point (dot) was being printed after N opens printing, and printer is put and calibrated color by transfer position being adjusted regularly X.This is called as the auto color calibration process.Yet, when carrying out the color calibration processing, carry out the color calibration processing and will consume a lot of toners.Therefore, employed toning dosage increases.In addition, because the user can not use image forming apparatus during the time period of carrying out color calibration, so this scheme can cause any inconvenience of user.
Summary of the invention
Described aspect of the present invention relates to image forming apparatus and method thereof, its window is applied to the binary data of color in case understand picture characteristics, correspondingly handle the edge of image district, utilize the software compensation image to disperse and the use of memory capacity minimized.
According to an aspect of the present invention, provide a kind of image forming apparatus, it comprises: input block is used to receive the binary data of the every kind of color that is transfused to; Generation unit, be applied to by window pre-sizing the every kind of color that is received binary data each, and comprehensive each window region, generate comprehensive window; Graphics processing unit by a plurality of subwindows are applied to comprehensive window, is expanded image in the described comprehensive window conditionally according to the directivity that is present in the image in the described comprehensive window; And control module, detect the marginarium of expanded images, from the binary data of every kind of color, extract the point corresponding, and carry out the enhancing or the deletion of the point corresponding with the marginarium with the marginarium.
According to an aspect of the present invention, described image forming apparatus also can comprise image formation unit, in order to use each of binary data wherein strengthen or to have deleted every kind of color of the point corresponding with the marginarium, comes carries out image to form operation.
According to an aspect of the present invention, described generation unit can comprise: the window applying unit, as object pixel, and is that the window of n * m is applied to described object pixel with size with each each pixel of binary data of constituting every kind of color, and wherein n and m are natural numbers arbitrarily; And comprehensive unit, with or the type mode come the window of the binary data of comprehensive every kind of color, and generate comprehensive window and be presented at all pixels that exist in each window of binary data of every kind of color.
In addition, according to an aspect of the present invention, described graphics processing unit can comprise: operating unit, by each subwindow being applied to described comprehensive window, calculate characteristic value characteristic, each subwindow of the image that representative exists in each subwindow; The condition storage unit, the directivity of described characteristic value is depended in consideration, stores expansion condition; And expanding element, when determining that the characteristic value that is calculated satisfies expansion condition, come expanded images by increase pixel in the object pixel district.
Under this situation, according to an aspect of the present invention, described operating unit can apply the first, second, third and the 4th subwindow in the every nook and cranny district that lays respectively at comprehensive window, cross over the 5th subwindow at center of comprehensive window and the 6th subwindow of crossing over the center of comprehensive window in the vertical in the horizontal; Wherein, when at first subwindow, second subwindow, the 3rd subwindow, with the number of pixels that exists in one of the 4th subwindow be the number of pixels of predetermined threshold or on it time, operating unit can be with described first subwindow, second subwindow, the 3rd subwindow, be calculated as " 1 " with the characteristic value of one of the 4th subwindow, and work as at first subwindow, second subwindow, the 3rd subwindow, under the number of pixels of predetermined threshold the time, operating unit can be with described first subwindow with the number of pixels that exists in one of the 4th subwindow, second subwindow, the 3rd subwindow, be calculated as " 0 " with the characteristic value of one of the 4th subwindow; And when there is pixel in the center pixel both sides at one of the 5th subwindow and the 6th subwindow, operating unit can be calculated as " 1 " with the characteristic value of one of the 5th subwindow and the 6th subwindow, and when there was not pixel in the one or both sides at the center pixel of one of the 5th subwindow and the 6th subwindow, operating unit can be calculated as " 0 " with the characteristic value of one of the 5th subwindow and the 6th subwindow.
In addition, according to an aspect of the present invention, described condition storage unit can be stored following expansion condition:
1)C1&C2&C3=1
2)C3&C4&C5=1
3)C1&C3&C6=1
4)C2&C4&C6=1
5)C1&C4=1
6)C2&C3=1
In described expansion condition, C1, C2, C3, C4, C5 and C6 refer to the characteristic value of the first, second, third, fourth, the 5th and the 6th subwindow respectively.
According to an aspect of the present invention, described characteristic value can be the distribution of the number of the pixel that exists in subwindow or the pixel that exists therein.
According to an aspect of the present invention, the binary data of described every kind of color can comprise C, M, Y and K color binary data.Under this situation, only the ratio of the K color dot in being included in the marginarium is a predetermined threshold value ratio or on it time, and control module can strengthen and is arranged in the point of marginarium in the K color binary data and deletes C, M and Y color binary data is positioned at the point of marginarium.
According to another aspect of the invention, provide a kind of image forming apparatus, having comprised: graphics processing unit, according to comprehensive color binary data, according to the directivity of image, come expanded images conditionally; And control module, detect the marginarium of expanded images, from described color binary data, extract the point corresponding, and carry out the enhancing or the deletion of the point corresponding with the marginarium with the marginarium.
According to another aspect of the invention, provide a kind of image forming method, having comprised: be applied to by window pre-sizing every kind of color binary data each, and comprehensive each window region, generate comprehensive window; By a plurality of subwindows are applied to comprehensive window, the directivity of the image in the comprehensive window that generates according to being present in is come expanded images conditionally; And detect the marginarium of expanded images, from the binary data of every kind of color, extract and be positioned at the point of marginarium, and enhancing or the deletion of carrying out the point that extracted.
According to an aspect of the present invention, described image forming method also can comprise: by using each of binary data wherein strengthen or to have deleted every kind of color of the point that is positioned at the marginarium, come carries out image to form operation.
According to an aspect of the present invention, described generation step can comprise: each pixel of each of the binary data of every kind of color of selection formation is as object pixel, and be that the window of n * m is applied to described object pixel with size, wherein n and m are natural numbers arbitrarily; And with or the type mode come the window of the binary data of comprehensive every kind of color, and generate in order to be presented at the comprehensive window of all pixels that exist in each window.
According to an aspect of the present invention, described condition spread step can comprise: by subwindow being applied to described comprehensive window, calculate the characteristic value of the characteristic of the image that representative exists in subwindow; And when determining that when considering to depend on the directivity of described characteristic value the characteristic value that is calculated satisfies one of expansion condition, come expanded images by add pixel in the object pixel district.
According to an aspect of the present invention, the step of described estimated performance value can comprise: apply the first, second, third and the 4th subwindow in the every nook and cranny district that lays respectively at comprehensive window, cross over the 5th subwindow at center of comprehensive window and the 6th subwindow of crossing over the center of comprehensive window in the vertical in the horizontal; Calculate the characteristic value of each subwindow independently, wherein, for first subwindow, second subwindow, the 3rd subwindow and the 4th subwindow, when the number of pixels that exists in subwindow is the number of pixels of predetermined threshold or on it time, the characteristic value of described subwindow is " 1 ", and when under the number of pixels of the number of pixels that exists in subwindow at predetermined threshold, the characteristic value of described subwindow is " 0 "; And wherein, for the 5th subwindow and the 6th subwindow, when there was pixel in the center pixel both sides at subwindow, the characteristic value of described subwindow was " 1 ", and when there were not all pixels in the one or both sides at the center pixel of subwindow, this characteristic value was " 0 ".
Under this situation, according to an aspect of the present invention, described expansion condition can be as follows:
1)C1&C2&C3=1
2)C3&C4&C5=1
3)C1&C3&C6=1
4)C2&C4&C6=1
5)C1&C4=1
6)C2&C3=1
In described expansion condition, C1, C2, C3, C4, C5 and C6 refer to the characteristic value of the first, second, third, fourth, the 5th and the 6th subwindow respectively.
In addition, according to an aspect of the present invention, described characteristic value can be the distribution of the number of the pixel that exists in subwindow or the pixel that exists therein.
According to an aspect of the present invention, the binary data of described every kind of color can comprise C, M, Y and K color binary data.Under this situation, the ratio of the K color dot in being included in the marginarium is a predetermined threshold value ratio or on it time, and described detection step can comprise strengthening and is arranged in the point of marginarium in the K color binary data and deletes C, M and Y color binary data is positioned at the point of marginarium.
Others of the present invention and/or advantage will partly be stated in ensuing description, and partly will obviously, perhaps can know by putting into practice the present invention according to described description.
Description of drawings
In conjunction with the accompanying drawings to the description of embodiment, these and/or others of the present invention and advantage will become obviously and be easier to and understand according to next, in the accompanying drawings:
Fig. 1 is the block diagram according to the image forming apparatus of the embodiment of the invention;
Fig. 2 is a block diagram of describing the image forming apparatus of Fig. 1 in more detail;
Fig. 3 illustrates the synoptic diagram that window is applied to the processing on the binary data of every kind of color;
Fig. 4 A-4D is the synoptic diagram that window is applied to the result on the binary data of every kind of color;
Fig. 5 is the synoptic diagram of comprehensive window;
Fig. 6 A-6F is the synoptic diagram of a plurality of subwindows;
Fig. 7 is the synoptic diagram that the subwindow with Fig. 6 is applied to the result on the comprehensive window of Fig. 5;
Fig. 8 is the synoptic diagram that is expanded to the image of object pixel;
Fig. 9 A shows the binary number image according to the show by every kind of color;
Fig. 9 B shows institute's image expanding data;
Fig. 9 C is the synoptic diagram of the marginarium of institute's image expanding data;
Figure 10 A and 10B illustrate before the final image with marginarium forms and the synoptic diagram of example afterwards, and the K color dot is enhanced and the point of other color is deleted in described marginarium;
Figure 11 is a process flow diagram of describing the image forming method of example embodiment according to the present invention; And
Figure 12 is the process flow diagram of more specifically example of describing the image forming method of Figure 11.
Embodiment
Now, detailed reference is illustrated the of the present invention current embodiment of its example in the accompanying drawings, wherein identical Reference numeral refers to components identical all the time.Below by reference diagram these embodiment are described, so that explanation the present invention.
Fig. 1 is the block diagram according to the image forming apparatus of the embodiment of the invention.In Fig. 1, image forming apparatus comprises input block 110, generation unit 120, graphics processing unit 130 and control module 140.Although do not illustrate, should be appreciated that in others of the present invention, described equipment can comprise additional ability, such as duplicating, fax and/or scanning.
The binary data of every kind of color of input in input block 110.The Video Controller (not shown) of image receives the 8-bit color image of cyan (C), purple (M), yellow (Y) and black (K), and carries out shadow tone (halftone) and handle, to generate the binary data of every kind of color.Input block 110 receives and is just experiencing halftone process and just by the binary data of every kind of color of Video Controller input.Especially, the binary data of every kind of color can be the binary data of C, M, Y and K color.Although in the environment of C, M, Y and K color, describe image forming apparatus, should be appreciated that, can use other the color and/or the color of other number.
Generation unit 120 is applied to the window of pre-sizing the color binary data of every kind of color.After this, generation unit 120 generates comprehensive window by comprehensive each window region.Particularly, generation unit 120 window that can be represented as n * m (width * length) is applied on each of C, M, Y and K binary data.After this, generation unit 120 generate with or the type mode show the comprehensive window of all pixels in each window.
Graphics processing unit 130 is applied to a plurality of subwindows on the comprehensive window that is generated, with the directivity of the image determining to exist in comprehensive window.In addition, graphics processing unit 130 is carried out the operation of expanded images according to determined directivity.Can the position and big or small aspect subwindow is set so that indicate the directivity that is included in the image in the single comprehensive window most effectively.For example, when comprehensive window has n * m big or small, can be set to have the size of (n-a) * (m-b) by subwindow, and it is positioned at the every nook and cranny district.Under this situation, except four subwindows that are positioned at the every nook and cranny district separately, can be applied to two subwindows crossing over the center of comprehensive window on the vertical and horizontal in addition.Yet, should be appreciated that, can use the subwindow of other position and/or number.
Graphics processing unit 130 is determined the directivity of the image in the comprehensive window by the distribution of checking the number of pixels exist and pixel in each subwindow.Therefore, when determining to form image on the desired direction and when having any defect area on the direction at image, graphics processing unit 130 comes expanded images by increasing pixel to defect area.
The marginarium that control module 140 detects by graphics processing unit 130 image expanding.When having filled the defect area of image by graphics processing unit 130, the edge of image district is variable level and smooth.Therefore, control module 140 extracts the marginarium from the binary data of every kind of color, and carries out the processing that strengthens or delete the point that belongs to the marginarium based on the binary data of every kind of color.
Particularly, control module 140 is carried out the processing that strengthens the K color dot in the marginarium of extracting from K color binary data, and carries out deletion in C, M from the marginarium of C, M and the extraction of Y color binary data and the processing of Y color dot.When the binary data that uses every kind of color handling in the above described manner forms image, prevent that versicolor point is presented in the marginarium of black text with being highlighted, and the border of clearly handling black text is to improve sharpness.
Fig. 2 is the block diagram of formation example of the image forming apparatus of pictorial image 1 in more detail.In Fig. 2, image forming apparatus also comprises image formation unit 150.In Fig. 2, illustrate an image formation unit 150 for the sake of simplicity.Yet image formation unit can comprise various types of assemblies, such as four photosensitive units and transfer printing unit, intermediate transfer belt etc.
Although be not all to need aspect all, shown input block 110 comprises interface unit 111 and storage unit 112.Interface unit 111 receives from the binary data of every kind of color of Video Controller (not shown) input, and with described binary data storage in storage unit 112.
Generation unit 120 comprises window applying unit 121 and comprehensive unit 122.Window applying unit 121 is applied to window each of described color binary data.To the processing that apply window be described with reference to figure 3 and Fig. 4 A-4D.
In Fig. 3, window applying unit 121 is applied to window one side of color binary data.Window applying unit 121 as object pixel, and is that the window of n * m (wherein, n and m are any natural numbers) is applied to object pixel with size with each pixel of color binary data.In Fig. 3, applied the window of 5 * 5 sizes as example.That is to say, in a rear flank that a window W1-1 is applied to color binary data " quick ", order apply subsequently window W1-2, W1-3 ..., W2-1 ...
Fig. 4 A-4D is the synoptic diagram that illustrates the example that respectively window is applied to the result on C, M, Y and the K color binary data.In Fig. 4, when on the same position that a window is applied to C, M, Y and K color binary data 201,202,203 and 204, each three points that are used for C, M and Y color are included in each (being respectively Fig. 4 A to Fig. 4 C) of C, M and Y color binary data 201,202 and 203, and 12 points of K color are included in (Fig. 4 D) in the K color binary data 204.
When the window of the binary data that obtains to be used for every kind of color, comprehensive unit 122 with or the comprehensive window that is obtained of type mode, for example to generate the comprehensive window that is used to show all pixels that are present in each window as shown in Figure 5.That is to say, when illustrated all windows of synthesizing map 4A-4D, produce the comprehensive window of Fig. 5.
Graphics processing unit 130 comprises operating unit 131, condition storage unit 132 and expanding element 133.Operating unit 131 is applied to comprehensive window with a plurality of subwindows, and calculates the characteristic value of the characteristic of representing the image that exists in the subwindow.Fabricator or user can consider the size of comprehensive window and shape etc., determine size, position, shape of subwindow etc.
Fig. 6 A-6F is the synoptic diagram of subwindow example.In Fig. 6 A-6F, operating unit 131 applies six subwindows altogether.That is to say that when generating 5 * 5 comprehensive windows, counting out of comprising always has 25 in comprehensive window.Therefore, the size of the subwindow that can use is set to the size less than 5 * 5.
In Fig. 6 A, first subwindow 310 forms regular square, and this regular square is positioned at the upper left corner (with respect to figure) of comprehensive window, and its size is 3 * 3.Second subwindow 320 (Fig. 6 B), the 3rd subwindow 330 (Fig. 6 C) and the 4th subwindow 340 (Fig. 6 D) lay respectively at the upper right corner, the lower left corner and the lower right corner of comprehensive window, and have shape identical with first subwindow 310 and identical size.
In addition, the 5th subwindow 350 (Fig. 6 E) and the 6th subwindow 360 (Fig. 6 F) can use together.The 5th subwindow 350 is crossed over the central point (that is, corresponding to the some a13 of object pixel) of comprehensive window in the vertical, and size is 1 * 5.The 6th subwindow 360 is crossed over the central point of comprehensive window in the horizontal, and size is 5 * 1.
Operating unit 131 is considered the number of pixels of existence in subwindow 310,320,330,340,350 and 360 or the distribution of pixel, calculates the characteristic value of subwindow 310,320,330,340,350 and 360 independently.When the number of pixels that in one of first subwindow 310, second subwindow 320, the 3rd subwindow 330 and the 4th subwindow 340, exists be the threshold pixels number or on the time, the characteristic value of this subwindow is calculated as " 1 ".If on described threshold number, then the characteristic value with this subwindow is not calculated as " 0 " to number of pixels.
When there is pixel in the center pixel both sides in subwindow 350 or 360, the characteristic value of subwindow 350 and 360 is calculated as " 1 ".When there is not pixel in the center pixel both sides of subwindow 350 or 360, the characteristic value of subwindow 350 and 360 is calculated as " 0 ".That is to say, express the method for the characteristic value that is used to calculate first subwindow 310, second subwindow 320, the 3rd subwindow 330, the 4th subwindow 340, the 5th subwindow 350 and the 6th subwindow 360 with ensuing formula:
Formula 1
If the number of pixels 〉=Th in first subwindow, C1=1 then, otherwise C1=0
If the number of pixels 〉=Th in second subwindow, C2=1 then, otherwise C2=0
If the number of pixels 〉=Th in the 3rd subwindow, C3=1 then, otherwise C3=0
If the number of pixels 〉=Th in the 4th subwindow, C4=1 then, otherwise C4=0
(if a11 " or " a12) " with " (a14 " or " a15)=1, C5=1 then, otherwise C5=0
(if a3 " or " a8) " with " (a18 " or " a23)=1, C6=1 then, otherwise C6=0
In formula 1, " C1 " refers to the characteristic value of the first, second, third, fourth, the 5th and the 6th subwindow respectively to " C6 ".Value " Th " refers to the threshold pixels number, and it can be selected by the user.
When obtaining the characteristic value of subwindow 310,320,330,340,350 and 360 by operating unit 131, whether expanding element 133 checkings satisfy the expansion condition of storage in condition storage unit 132.In ensuing formula, expressed the expansion condition of image area:
Formula 2:
C1&C2&C3=1
C3&C4&C5=1
C1&C3&C6=1
C2&C4&C6=1
C1&C4=1
C2&C3=1
During any condition in satisfying above-mentioned formula 2, expanding element 133 expands to object pixel with image area.If do not satisfy any in the expansion condition, then expanding element 133 does not expand to object pixel with image area.
Fig. 7 is used to illustrate the synoptic diagram that each subwindow is applied to the processing on the comprehensive window of Fig. 5.With the processing of the image area in the comprehensive window of description expander graphs 5, suppose that Th is " 5 ".When first subwindow 310 is applied to the comprehensive window of Fig. 5, in first subwindow 310, there are four pixels.Therefore, owing to exist number of pixels to be lower than " 5 " in first subwindow 310, then the characteristic value of first subwindow 310 is " 0 ".
Next, owing in second subwindow 320, have seven pixels, so the characteristic value of second subwindow 320 is " 1 ".Similarly, the characteristic value of the 3rd subwindow 330 is " 0 ", and the characteristic value of the 4th subwindow 340 is " 1 ".
Next, in the 5th subwindow 350, owing on position a11 and a22, do not have pixel, so its characteristic value is " 0 ".Yet, in the 6th subwindow 360, owing on all position a3, a8, a18 and a23, all have pixel, so its characteristic value is " 1 ".
Fig. 7 only illustrates the subwindow of characteristic value for " 1 ", that is, and and the second, the 4th and the 6th subwindow 320,340 and 360.Therefore, the C2﹠amp that satisfies condition; C4﹠amp; C6=1.Because this is the 4th condition of above-mentioned formula 2, so expanding element 133 decisions expand to object pixel.
Fig. 8 illustrates by expanding element 133 and is expanded state into the image of object pixel.In this mode, depend on the directivity of the pixel around object pixel, determine whether to expand to the object pixel that is included in each window.Therefore, defect area or the marginarium in the blank map picture.
Control module 140 detects the marginarium of image expanding.The algorithm that detects the marginarium is known.After this, the binary data of the every kind color of control module 140 from be stored in storage unit 112 extracts the point that is positioned at the marginarium, to carry out the processing that strengthens or delete point.Therefore, control module 140 control image formation units 150 with by the binary data that uses every kind of color, the marginarium that utilization has been handled, are carried out the formation treatment of picture.Image formation unit 150 can be by a plurality of photosensitive units and transfer printing unit etc., and the binary data that shows every kind of color is as image.
Control module 140 can additionally be carried out and determine that associated picture is the black text or the processing of color text based on the K color dot number that exists in the marginarium of being detected.
That is to say that in the situation of black text, control module 140 makes clear border by strengthening the K color and delete other color in the marginarium, and comes print image by image formation unit 150 then.
Under the situation of black text since in the marginarium Show Color naturally, strengthen or the deletion processing so control module 140 is carried out.Control module 140 control image formation units 150 come to form image by the binary data that uses every kind of color of storage in storage unit 112.
Fig. 9 A to Fig. 9 C is illustrated in the processing that detects the marginarium synoptic diagram that can how change the shape of image by expanded images.In Fig. 9 A, indicated a kind of binary data of color.In the color binary data of Fig. 9 A, note in the zone that forms image, existing some defect areas.
Next, Fig. 9 B shows by the image after graphics processing unit 130 expansions.Shown in Fig. 9 B, when expanded images, fill most of defect areas, so that make the marginarium clear.When in this state, deriving the marginarium, obtain the clearly marginarium shown in Fig. 9 C.Control module 140 is applied to the marginarium that is obtained on the binary data of every kind of color, to strengthen the K color dot and delete C, M and the Y color dot in the part of marginarium.Therefore, prevent to show color except that black at the boundary vicinity of black text.
Figure 10 A and 10B are that text is before having the marginarium of having handled and synoptic diagram afterwards.In Figure 10 A, before the marginarium of handling text, different colors is displayed in the defect area of many marginariums or wherein existence.Yet when control module 140 was carried out the marginarium processing, deletion was arranged in the versicolor point of marginarium, and strengthens deleted zone or defect area by the K color dot, thereby obtained the text that having shown in Figure 10 B known the border.Yet, because the final zones of handling of 140 of control modules are corresponding to the borderline region of the binary data of every kind of color, so the binary data of interior zone by the every kind of color that superposes shows original image.This is because color divergence is difficult for discovering at interior zone usually, but only becomes the problem of easily discovering in the marginarium.Therefore, carry out the color stack in inner area, reproducing black region as it is, and control module 140 can only be handled the marginarium.
Figure 11 describes the process flow diagram of image forming method according to another embodiment of the present invention.In Figure 11, in operation S1110, window is applied to the binary data of every kind of color, to generate comprehensive window.Owing to describe the method for handling comprehensive window in detail, so will no longer carry out its description in conjunction with Fig. 3 to 5.
In operation S1120, a plurality of subwindows are applied to the comprehensive window that is generated, come expanded images with directivity according to image.Owing to describe the method that applies subwindow and the method for expanded images in detail, so will no longer present its further description in conjunction with Fig. 6 A-6F to Fig. 8.
In operation S1130, detect the marginarium of expanded images.In operation S1140, correspondingly the binary data of every kind of color is strengthened or delete the point that is arranged in the marginarium.
Figure 12 is the process flow diagram of describing in more detail according to the image forming method of the embodiment of Figure 11.In Figure 12, in operation S1210, in Video Controller etc., import the binary data of every kind of color.Different with traditional technology, owing to imported binary data rather than 8 bit data according to an aspect of the present invention, so significantly reduced the use of storer.Particularly, in the example that is used for describing present embodiment, input C, M, Y and K color binary data.
The operation S1215 in, window is applied on each binary data of being imported, and the operation S1220 in, with or the type mode generate comprehensive window.In operation S1225, a plurality of subwindows are applied on the comprehensive window that is generated.In operation S1230, calculate the characteristic value of each subwindow.According to an aspect of the present invention, the characteristic value of each subwindow can calculate by above-mentioned formula 1, but also can otherwise define.
When as calculated during characteristic value, in operation S1235, determine whether the characteristic value that is calculated satisfies expansion condition.For example, expansion condition can be the expressed condition of above-mentioned formula 2.If the value of being calculated does not satisfy expansion condition, then finish and the relevant method of comprehensive window that is generated.
If satisfy expansion condition, then in operation S1240, expand the image of this comprehensive window, so that fill the defect area that is arranged in edge of image district etc.
In operation S1245, detect the marginarium of institute's image expanding, and in operation S1250, the K color of check in the marginarium counted.In operation S1255, whether the ratio of checking the K color dot number checked is positioned at the predetermined threshold ratio or on it.When K color dot number is positioned at this threshold rate or on it the time, thinks that this image is a black text, and when the ratio of K color dot is under described threshold rate, think that described image is a color text.For example, when described threshold rates was predefined for 70%, the sum that is positioned at the point of marginarium was 100, and the number of K color dot is 70 or more, is black text with described image recognition then.Yet, when the number of K color dot is lower than 70, be color text with described image recognition.
Therefore, when image recognition is color text, a binary data of every kind of color importing and store is not carried out any additional treatments, thereby the binary data of every kind of color is retained as former state.
Yet, when image recognition is black text (, when the ratio of included K color dot be threshold rate or on it the time), in operation S1260, in the marginarium, strengthen the K color and delete other color.In operation S1265, correspondingly use the binary data of every kind of color to come carries out image to form processing, so that strengthen or delete the color dot of each marginarium.As a result, the border of black text becomes and clearly defines, and prevents that any other color is presented on the border with being highlighted.
As mentioned above, according to the image forming apparatus and the method for the embodiment of the invention,, also can use software to handle the marginarium, so that prevent that picture quality is owing to color divergence worsens even color divergence may occur.Particularly, the border by the synthesizing black text that shows of stack shades of colour can be treated to clearer.In addition, according to this image forming apparatus and method, owing to use the binary data of every kind of color to handle the marginarium, so can use the storer of low capacity to handle the marginarium.
Although illustrated and described several embodiments of the present invention, but it should be appreciated by those skilled in the art that, can change in this embodiment without departing from the principles and spirit of the present invention, scope of the present invention limits in claim and equivalence thereof.

Claims (21)

1. image forming apparatus comprises:
Input block is used to receive the binary data of the every kind of color that is transfused to;
Generation unit, be used for by the window with pre-sizing be applied to the every kind of color that is received binary data each, and comprehensive each window region, generate comprehensive window;
Graphics processing unit is used for by a plurality of subwindows being applied to this comprehensive window, expands image in this comprehensive window conditionally according to the directivity that is present in the image in this comprehensive window; And
Control module is used to detect the marginarium of expanded images, extracts the point corresponding with the marginarium from the binary data of every kind of color, and carries out the enhancing or the deletion of the point corresponding with the marginarium.
2. according to the equipment of claim 1, also comprise image formation unit, be used to use each of binary data that wherein strengthens or deleted every kind of color of the point corresponding, come carries out image to form operation with the marginarium.
3. according to the equipment of claim 1, wherein said generation unit comprises:
Window applying unit, each each pixel of binary data that is used for constituting every kind of color be as object pixel, and be that the window of n * m is applied to described object pixel with size, and wherein n and m are natural numbers arbitrarily; And
Comprehensive unit, be used for or the type mode come the window of the binary data of comprehensive every kind of color, and generate comprehensive window and be presented at all pixels that exist in each window of binary data of every kind of color.
4. according to the equipment of claim 1, wherein said graphics processing unit comprises:
Operating unit is used for by each subwindow being applied to described comprehensive window, calculates characteristic value characteristic, each subwindow of the image that representative exists in each subwindow;
The condition storage unit is used to consider to depend on the directivity of described characteristic value, stores expansion condition; And
Expanding element is used for by add pixel in the object pixel district, coming expanded images when determining that the characteristic value that is calculated satisfies expansion condition.
5. according to the equipment of claim 4, wherein said operating unit applies the first, second, third and the 4th subwindow in the every nook and cranny district that lays respectively at comprehensive window, crosses over the 5th subwindow at center of comprehensive window and the 6th subwindow of crossing over the center of comprehensive window in the vertical in the horizontal;
Wherein, when at first subwindow, second subwindow, the 3rd subwindow, with the number of pixels that exists in one of the 4th subwindow be the number of pixels of predetermined threshold or on it time, operating unit is with described first subwindow, second subwindow, the 3rd subwindow, be calculated as " 1 " with the characteristic value of one of the 4th subwindow, and work as at first subwindow, second subwindow, the 3rd subwindow, under the number of pixels of predetermined threshold the time, operating unit is with described first subwindow with the number of pixels that exists in one of the 4th subwindow, second subwindow, the 3rd subwindow, be calculated as " 0 " with the characteristic value of one of the 4th subwindow; And
When there is pixel in the center pixel both sides at one of the 5th subwindow and the 6th subwindow, operating unit is calculated as " 1 " with the characteristic value of one of the 5th subwindow and the 6th subwindow, and when there was not pixel in the one or both sides at the center pixel of one of the 5th subwindow and the 6th subwindow, operating unit was calculated as " 0 " with the characteristic value of one of the 5th subwindow and the 6th subwindow.
6. according to the equipment of claim 5, the following expansion condition of wherein said condition cell stores:
1)C1&C2&C3=1
2)C3&C4&C5=1
3)C1&C3&C6=1
4)C2&C4&C6=1
5)C1&C4=1
6)C2&C3=1
Wherein C1, C2, C3, C4, C5 and C6 are respectively the characteristic values of the first, second, third, fourth, the 5th and the 6th subwindow.
7. according to the equipment of claim 4, wherein said characteristic value is represented the number of the pixel that exists or the distribution of the pixel of existence therein in subwindow.
8. according to the equipment of claim 4, wherein, when determining that the characteristic value that is calculated does not satisfy expansion condition, described expanding element does not add pixel in the object pixel district.
9. according to the equipment of claim 1, the binary data of wherein said every kind of color comprises C, M, Y and K color binary data; And
Only the ratio of the K color dot in being included in the marginarium is a predetermined threshold value ratio or on it time, and control module just strengthens and is arranged in the point of marginarium in the K color binary data and deletes C, M and Y color binary data is positioned at the point of marginarium.
10. image forming apparatus comprises:
Graphics processing unit is used for according to the image direction that is detected, and comes in the comprehensive window that is applied of the color binary data that is received, conditionally expanded images; And
Control module is used to detect the marginarium of expanded images, extracts the point corresponding with the marginarium from described color binary data, and carries out the enhancing or the deletion of the point corresponding with the marginarium.
11. according to the image forming apparatus of claim 10, wherein said color binary data comprises C, M, Y and K color binary data; And wherein the ratio of the K color dot in being included in the marginarium is a predetermined threshold value ratio or on it time, and control module strengthens and is arranged in the point of marginarium in the K color binary data and deletes C, M and Y color binary data is positioned at the point of marginarium.
12. an image forming method comprises:
Be applied to by window pre-sizing every kind of color binary data each, and comprehensive each window region, generate comprehensive window;
By a plurality of subwindows are applied to the comprehensive window that is generated,, come expanded images conditionally according to the directivity that is present in the image in the described comprehensive window; And
Detect the marginarium of expanded images,
From the binary data of every kind of color, extract the point that is positioned at the marginarium, and
Carry out the enhancing or the deletion of the point that extracted.
13. the method according to claim 12 also comprises:, come carries out image to form operation by using each of binary data wherein strengthen or to have deleted every kind of color of the point that is positioned at the marginarium.
14. according to the method for claim 13, wherein said generation step comprises:
Each each pixel of binary data that select to constitute every kind of color is as object pixel, and is that the window of n * m is applied to described object pixel with size, and wherein n and m are natural numbers arbitrarily; And
With or the type mode come the window of the binary data of comprehensive every kind of color, and generate in order to be presented at the comprehensive window of all pixels that exist in each window.
15. according to the method for claim 13, wherein said condition spread step comprises:
By subwindow being applied to described comprehensive window, calculate the characteristic value of the characteristic of the image that representative exists in subwindow; And
When determining that the characteristic value that is calculated satisfies one of expansion condition, consider to depend on the directivity of described characteristic value, and come expanded images by add pixel in the object pixel district.
16. according to the method for claim 15, the step of wherein said estimated performance value comprises:
Apply the first, second, third and the 4th subwindow in the every nook and cranny district that lays respectively at comprehensive window, cross over the 5th subwindow at center of comprehensive window and the 6th subwindow of crossing over the center of comprehensive window in the vertical in the horizontal;
Calculate the characteristic value of each subwindow, wherein, for first subwindow, second subwindow, the 3rd subwindow and the 4th subwindow, when the number of pixels that exists in subwindow is the number of pixels of predetermined threshold or on it time, the characteristic value of described subwindow is " 1 ", and when under the number of pixels of the number of pixels that exists in subwindow at predetermined threshold, the characteristic value of described subwindow is " 0 "; And wherein, for the 5th subwindow and the 6th subwindow, when there was pixel in the center pixel both sides at subwindow, the characteristic value of described subwindow was " 1 ", and when there were not all pixels in the one or both sides at the center pixel of subwindow, described characteristic value was " 0 ".
17. according to the method for claim 16, wherein said expansion condition is as follows:
1)C1&C2&C3=1
2)C3&C4&C5=1
3)C1&C3&C6=1
4)C2&C4&C6=1
5)C1&C4=1
6)C2&C3=1
Wherein C1, C2, C3, C4, C5 and C6 are respectively the characteristic values of the first, second, third, fourth, the 5th and the 6th subwindow.
18. according to the method for claim 15, the distribution of the number of the pixel that wherein said characteristic value representative exists in subwindow or the pixel that exists therein.
19., wherein, when determining that the characteristic value that is calculated does not satisfy one of expansion condition, do not expand described image according to the method for claim 15.
20. according to the method for claim 12, wherein:
Described generation step comprises each of binary data that is applied to every kind of color by the window with 5 * 5 pixel sizes, generates comprehensive window; And
Described spread step comprises and applies the first, second, third, fourth, the 5th and the 6th subwindow, wherein the first, second, third and the 4th subwindow is respectively 3 * 3 sizes and is positioned at the every nook and cranny district of 5 * 5 comprehensive windows that generated, the 5th subwindow is 1 * 5 size and the center of crossing over comprehensive window in the horizontal, and the 6th subwindow is 5 * 1 sizes and the center of crossing over comprehensive window in the vertical.
21. according to the method for claim 12,
Wherein, the binary data of described every kind of color comprises C, M, Y and K color binary data; And
Wherein, the ratio of the K color dot in being included in the marginarium is a predetermined threshold value ratio or on it time, and described detection step comprises strengthening and is arranged in the point of marginarium in the K color binary data and deletes C, M and Y color binary data is positioned at the point of marginarium.
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